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ENVSOFT
2008
175views more  ENVSOFT 2008»
15 years 6 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
BMCBI
2005
110views more  BMCBI 2005»
15 years 6 months ago
Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information
Background: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their...
James W. Cooper, Aaron Kershenbaum
ICCV
2003
IEEE
16 years 8 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
ECCV
2006
Springer
16 years 8 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
PODS
2006
ACM
156views Database» more  PODS 2006»
16 years 6 months ago
From statistical knowledge bases to degrees of belief: an overview
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Joseph Y. Halpern